This is a cool project, and the idea of using LLMs to selectively extract features from open source projects is an interesting concept.
The only thing I take issue with is the phrase "LiteLLM Without the Bloat." A lot of the features that have been removed (like cost tracking, streaming, caching) are... kind of the core value proposition of LiteLLM for many of their users.
LiteLLM doesn't quite live up to its name. With all those features, there is nothing "lite" about it. It is essential for a project to live up to its name.
Imagine Sqlite adding heavy features from Postgresql, e.g. row-level security.
But imagine Sqlite not supporting joins or window functions... sure they are useful but look how many LOC it adds! Who is the arbiter of what Lite actually means?
We run it at my org and it's never been a noticeable resource hog. It's actually the best performer between it, our AI observability stack and the front end.
The only thing I take issue with is the phrase "LiteLLM Without the Bloat." A lot of the features that have been removed (like cost tracking, streaming, caching) are... kind of the core value proposition of LiteLLM for many of their users.